I am a PhD Candidate at the Department of Economics at University of Southern California and a Data Science intern at MD Insider.

I am half-Swedish half-Polish and before coming to the US I studied economics and mathematics in Sweden.

My interests is combining insights from econometrics and machine learning to yield better predictive models, and using big data to inform decision making. I specialize in econometrics with a focus on theoretical and applied modeling of social and financial networks, as well as modeling of asset price expectations. I have also worked with Bayesian statistics and machine learning, and I am particularly interested in how economics and machine learning can be used together to solve problems.

Programming skills: AWS, Bash, html, Linux, Matlab, Maple, Python, R, SQL, Stata

 

Education

Ph.D. in Econometrics and Quantitative Economics,  2011 - (May 2018)
University of Southern California, Los Angeles, CA

M.A. in Economics, 2012
University of Southern California, Los Angeles, CA

B.Sc. in Economics, 2011
University of Gothenburg, Gothenburg, Sweden

B.Sc. in Mathematics, 2011
Linköping University, Linköping, Sweden

 

Awards

  • Summer Research Award, University of Southern California (2016)
  • USC Dornsife INET Graduate Fellowship, University of Southern California (2014-2016)
  • Research Award, University of Southern California Department of Economics (Summer 2014)
  • Research Fellowship, University of Southern California Institute for Economic Policy Research (Summer 2013)
  • Merit Fellowship, University of Southern California (2011 - 2017)

 

Conference Presentations

  • North American Summer Meeting of the Econometric Society (2016)
  • Discussant at the Rena Sivitanidou Annual Research Symposium, University of Southern California (2016)
  • USC Dornsife INET Conference on Networks, University of Southern California (2015)

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